finetune-clm-employment

This model is a fine-tuned version of distilroberta-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.8445

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
2.3283	1.0	3989	1.9578
2.0824	2.0	7978	1.9013
1.9936	3.0	11967	1.8625

Framework versions

• Transformers 4.14.1
• Pytorch 1.10.0+cu111
• Datasets 1.17.0
• Tokenizers 0.10.3